Electronics & Semiconductors

Demonstrating significant energy savings using neuromorphic hardware

For the first time TU Graz's Institute of Theoretical Computer Science and Intel Labs demonstrated experimentally that a large neural network can process sequences such as sentences while consuming four to sixteen times less ...

Computer Sciences

New deep learning techniques lead to materials imaging breakthrough

Supercomputers help researchers study the causes and effects—usually in that order—of complex phenomena. However, scientists occasionally need to deduce the origins of scientific phenomena based on observable results. ...

Computer Sciences

How well do explanation methods for machine-learning models work?

Imagine a team of physicians using a neural network to detect cancer in mammogram images. Even if this machine-learning model seems to be performing well, it might be focusing on image features that are accidentally correlated ...

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